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Table 2 Odds of farm equipment crashes occurring on Iowa road segments calculated using Logistic Regression

From: The effects of roadway characteristics on farm equipment crashes: a geographic information systems approach

 

Farm equipment crash

 

cOR (95% CI)a

aOR (95% CI)b

Road characteristics

Traffic volumec

 0–30

Ref

Ref

 31–101

1.93 (1.54–2.40)

2.00 (1.60–2.49)

 102–360

1.69 (1.35–2.12)

3.76 (2.97–4.77)

 361–1250

3.26 (2.66–4.00)

7.43 (5.90–9.34)

 1251+

3.88 (3.17–4.74)

7.00 (5.38–8.85)

Speed limit (mph)d

  < 35

Ref

Ref

 35–45

3.59 (2.75–4.68)

3.03 (2.30–3.99)

 50–60

4.64 (3.92–5.49)

8.05 (6.59–9.84)

 65+

4.02 (2.87–5.64)

3.52 (2.42–5.14)

Road typee

 Interstate

0.59 (0.26–1.31)

0.60 (0.27–1.35)

 US route

4.53 (3.77–5.44)

4.86 (3.99–5.91)

 Iowa route

5.70 (4.80–6.78)

5.98 (4.97–7.20)

 FTM routef

4.70 (4.14–5.34)

4.67 (4.11–5.32)

 Local route

Ref

Ref

Surface type

 Paved

Ref

Ref

 Unpaved

0.65 (0.58–0.73)

0.97 (0.86–1.11)

Road widthg

 mean(sd)

0.95 (0.91–0.99)

0.90 (0.86–0.94)

Shoulder widthg

 mean(sd)

1.44 (1.39–1.49)

0.94 (0.89–1.00)

  1. aCrude odds ratios and 95% confidence intervals
  2. bAdjusted odds ratios and 95% confidence intervals; bolded estimates were significant at the α=0.05 level.
  3. cAverage Annual Daily Traffic (Total annual traffic volume/365)
  4. dModel mutually controls for Speed Limit, Traffic Volume, and Shoulder Width
  5. eModel mutually controls for Road Type, Surface Type and Road Width
  6. fFarm to market route
  7. gUnit: 5 feet